Zusammenfassung
Leistungsbeurteilungen spielen auch im Zusammenhang mit Eignungsdiagnostik und Personalauswahl eine Rolle. Sie werden beispielsweise genutzt, um interne Bewerber/-innen zu bewerten oder um Auswahlentscheidungen zu validieren. In diesem Kapitel wird dargestellt, was als Arbeitsleistung verstanden wird und anhand welcher Art von Indikatoren und Methoden sie beurteilt wird und wer dafür zuständig ist. Neben der klassischen Vorgehensweise wird aufgezeigt, welches Potenzial die Digitalisierung im Rahmen der Leistungsbeurteilung bietet, welche Verfahren bereits eingesetzt werden und welche Wirkungen sie erzielen.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Literatur
Abraham, M., Niessen, C., Schnabel, C., Lorek, K., Grimm, V., Möslein, K., & Wrede, M. (2019). Electronic monitoring at work: The role of attitudes, functions, and perceived control for the acceptance of tracking technologies. Human Resource Management Journal, 29(4), 657–675. https://doi.org/10.1111/1748-8583.12250
Adler, S., Campion, M., Colquitt, A., Grubb, A., Murphy, K., Ollander-Krane, R., & Pulakos, E. D. (2016). Getting rid of performance ratings: Genius or folly? A debate. Industrial and Organizational Psychology: Perspectives on Science and Practice, 9(2), 149–160. https://doi.org/10.1017/iop.2015.106
Aguinis, H., & Burgi-Tian, J. (2021a). Measuring performance during crises and beyond: The performance promoter score. Business Horizons, 64(1), 241–249. https://doi.org/10.1016/j.bushor.2020.09.001
Aguinis, H., & Burgi-Tian, J. (2021b). Talent management challenges during COVID-19 and beyond: Performance management to the rescue. Business Research Quarterly, 24(3), 1–8. https://doi.org/10.1177/23409444211009528
Aguinis, H., Joo, H., & Gottfredson, R. K. (2013). What monetary rewards can and cannot do: How to show employees the money. Business Horizons, 56(2), 241–249. https://doi.org/10.1016/j.bushor.2012.11.007
Alge, B. J., & Hansen, S. D. (2014). Workplace monitoring and surveillance research since “1984”: A review and agenda. In M. D. Coovert & L. F. Thompson (Hrsg.), The Psychology of Workplace Technology (S. 209–237). Routledge.
Allen, K., van Someren, G., & Gutierrez, S. (2020). What’s age got to do with it? You may be surprised! Industrial and Organizational Psychology, 13(3), 403–407. https://doi.org/10.1017/iop.2020.68
Allworth, E., & Hesketh, B. (1999). Construct-oriented biodata: capturing change-related and contextually relevant future performance. International Journal of Selection and Assessmen, 7(2), 97–111. https://doi.org/10.1111/1468-2389.00110
Bernauer, V. S., & Kornau, A. (2022). E-voice in the digitalised workplace. Insights from an alternative organisation. Human Resource Management Journal, 1–17. https://doi.org/10.1111/1748-8583.12460
Bhave, D. P. (2014). The invisible eye? Electronic performance monitoring and employee job performance. Personnel Psychology, 67(3), 605–635. https://doi.org/10.1111/peps.12046
Bilotta, I., Cheng, S., Ng, L., Corrington, A., Watson, I., Paoletti, J., et al. (2021). Remote communication amid the coronavirus pandemic: Optimizing interpersonal dynamics and team performance. Industrial and Organizational Psychology, 14(1–2), 36–40. https://doi.org/10.1017/iop.2021.10
Blume, B. D., Rubin, R. S., & Baldwin, T. T. (2013). Who is attracted to an organisation using a forced distribution performance management system? Human Resource Management Journal, 23(4), 360–378. https://doi.org/10.1111/1748-8583.12016
Bondarouk, T. V., & Ruël, H. J. M. (2009). Electronic Human Resource Management: challenges in the digital era. International Journal of Human Resource Management, 20(3), 505–514. https://doi.org/10.1080/09585190802707235
Borman, W. C., & Motowidlo, S. J. (1997). Task performance and contextual performance: The meaning for personnel selection research. Human Performance, 10(2), 99–109. https://doi.org/10.1207/s15327043hup1002_3
Buckingham, M., & Goodall, A. (2015). Reinventing performance management. Harvard Business Review, 93(4), 40–50.
Campbell, J. P., & Wiernik, B. M. (2015). The modeling and assessment of work performance. Annual Review of Organizational Psychology and Organizational Behavior, 2, 47–74. https://doi.org/10.1146/annurev-orgpsych-032414-111427
Campion, M. A., Fink, A. A., Ruggeberg, B. J., Carr, L., Phillips, G. M., & Odman, R. B. (2011). Doing competencies well: Best practices in competency modeling. Personnel Psychology, 64(1), 225–262. https://doi.org/10.1111/j.1744-6570.2010.01207.x
Campion, M. C., Campion, E. D., & Campion, M. A. (2015). Improvements in performance management through the use of 360 feedback. Industrial and Organizational Psychology: Perspectives on Science and Practice, 8(1), 85–93. https://doi.org/10.1017/iop.2015.3
Cardador, M. T., Northcraft, G. B., & Whicker, J. (2017). A theory of work gamification: Something old, something new, something borrowed, something cool? Human Resource Management Review, 27(2), 353–365. https://doi.org/10.1016/j.hrmr.2016.09.014
Cardy, R., & Munjal, D. (2016). Beyond performance ratings: The long road to effective performance management. Industrial and Organizational Psychology, 9(2), 322–328. https://doi.org/10.1017/iop.2016.18
Carver, S., Goffin, R., & Factor, R. (2021). Relative and absolute self-ratings of work performance: Does social comparison lead to an enhanced thought process in self-evaluations? International Journal of Selection and Assessment, 29(3–4), 336–351. https://doi.org/10.1111/ijsa.12351
Cascio, W. F., & Montealegre, R. (2016). How technology is changing work and organizations. Annual Review of Organizational Psychology and Organizational Behavior, 3, 349–375. https://doi.org/10.1146/annurev-orgpsych-041015-062352
Cenciotti, R., Alessandri, G., Borgogni, L., & Consiglio, C. (2022). Agentic capabilities as predictors of psychological capital, job performance, and social capital over time. International Journal of Selection and Assessment, 30(2), 249–264. https://doi.org/10.1111/ijsa.12357
Church, A., Ginther, N., Levine, R., & Rotolo, C. (2015). Going beyond the fix: Taking performance management to the next level. Industrial and Organizational Psychology, 8(1), 121–129. https://doi.org/10.1017/iop.2015.10
Cleveland, J. N., Murphy, K. R., & Williams, R. E. (1989). Multiple uses of performance appraisal: Prevalence and correlates. Journal of Applied Psychology, 74(1), 130–135. https://doi.org/10.1037/0021-9010.74.1.130
Dalal, R. S. (2005). A meta-analysis of the relationship between organizational citizenship behavior and counterproductive work behavior. Journal of Applied Psychology, 90(6), 1241–1255. https://doi.org/10.1037/0021-9010.90.6.1241
Dalal, R. S., Bhave, D. P., & Fiset, J. (2014). Within-person variability in job performance: A theoretical review and research agenda. Journal of Management, 40(5), 1396–1436.
Dalal, R. S., Alaybek, B., & Lievens, F. (2020). Within-person job performance variability over short timeframes: Theory, empirical research, and practice. Annual Review of Organizational Psychology and Organizational Behavior, 7, 421–449. https://doi.org/10.1146/annurev-orgpsych-012119-045350
Darr, W., Borman, W. C., St-Pierre, L., Kubisiak, C., & Grossman, M. (2017). An applied examination of the computerized adaptive rating scale for assessing performance. International Journal of Selection and Assessment, 25(2), 149–153. https://doi.org/10.1111/ijsa.12167
DeNisi, A. S., & Murphy, K. R. (2017). Performance appraisal and performance management: 100 years of progress? Journal of Applied Psychology, 102(3), 421–433. https://doi.org/10.1037/apl0000085
Farr, J. L., Fairchild, J., & Cassidy, S. E. (2014). Technology and performance appraisal. In M. D. Coovert & L. F. Thompson (Hrsg.), The psychology of workplace technology (S. 77–98). Routledge.
Gerhart, B., & Fang, M. (2015). Pay, intrinsic motivation, extrinsic motivation, performance, and creativity in the workplace: Revisiting long-held beliefs. Annual Review of Organizational Psychology and Organizational Behavior, 2, 489–521. https://doi.org/10.1146/annurev-orgpsych-032414-111418
Geshkov, M. (2021). Application of digital technologies in performance appraisal. Trakia Journal of Sciences, 19(Suppl. 1), 117–121. https://doi.org/10.15547/tjs.2021.s.01.016
Giessner, S. R., Stam, D., Kerschreiter, R., Verboon, D., & Salama, I. (2020). Goal-setting reloaded: The influence of minimal and maximal goal standards on task satisfaction and goal striving after performance feedback. Organizational Behavior and Human Decision Processes, 161(C), 228–241. https://doi.org/10.1016/j.obhdp.2020.08.004
Goffin, R. D., & Olson, J. M. (2011). Is it all relative? Comparative judgments and the possible improvement of self-ratings and ratings of others. Perspectives on Psychological Science, 6(1), 48–60. https://doi.org/10.1177/1745691610393521
Goldberg, E. L. (2015). Leveraging technology to improve social dynamics. Industrial and Organizational Psychology, 8(1), 100–102. https://doi.org/10.1017/iop.2015.5
Gorman, C. A., Meriac, J. P., Roch, S. G., Ray, J. L., & Gamble, J. S. (2017). An exploratory study of current performance management practices: Human resource executives’ perspectives. International Journal of Selection and Assessment, 25(2), 193–202. https://doi.org/10.1111/ijsa.12172
Grant, A. M., & Shandell, M. S. (2022). Social otivation at work: The organizational sychology of effort for, against, and with others. Annual Review of Psychology, 73, 301–326. https://doi.org/10.1146/annurev-psych-060321-033406
Hamari, J., Koivisto, J., & Sarsa, H. (2014, January 6–9). Does gamification work? – A literature review of empirical studies on gamification. In Proceedings of the 47th hawaii international conference on system sciences. IEEE.
Hu, X., Barber, L., Park, Y., & Day, A. (2021). Defrag and reboot? Consolidating information and communication technology research in I-O psychology. Industrial and Organizational Psychology, 14(3), 371–396. https://doi.org/10.1017/iop.2021.3
Jelley, R. B. (2016) Working With Social Comparisons in the Appraisal and Management of Performance Industrial and Organizational Psychology, 9(2), 288–296 https://doi.org/10.1017/iop.2016.13
Katz, I. M., Rauvola, R. S., & Rudolph, C. W. (2021). Feedback environment: A meta-analysis. International Journal of Selection and Assessment, 29(4), 305–325. https://doi.org/10.1111/ijsa.12350
Keegan, A., & Den Hartog, D. (2019). Doing it for themselves? Performance appraisal in project-based organisations, the role of employees, and challenges to theory. Human Resource Management Journal, 29(2), 217–237. https://doi.org/10.1111/1748-8583.12216
Keeping, L. M., & Levy, P. E. (2000). Performance appraisal reactions: Measurement, modeling, and method bias. Journal of Applied Psychology, 85(5), 708–723. https://doi.org/10.1037/0021-9010.85.5.708
Klehe, U.-C., & Anderson, N. (2007). Working hard and working smart: Motivation and ability during typical and maximum performance. Journal of Applied Psychology, 92(4), 978–992. https://doi.org/10.1037/0021-9010.92.4.978
Knies, E., Borst, R. T., Leisink, P., & Farndale, E. (2022). The distinctiveness of public sector HRM: A fourwave trend analysis. Human Resource Management Journal, 32(4), 799–825. https://doi.org/10.1111/1748-8583.12440
Koopmans, L., Bernaards, C. M., Hildebrandt, V. H., Schaufeli, W. B., de Vet Henrica, C. W., & van der Beek, A. J. (2011). Conceptual frameworks of individual work performance: A systematic review. Journal of Occupational and Environmental Medicine, 53(8), 856–866. https://doi.org/10.1097/JOM.0b013e318226a763
Landers, R. N., & Marin, S. (2021). Theory and technology in organizational psychology: A review of technology integration paradigms and their effects on the validity of theory. Annual Review of Organizational Psychology and Organizational Behavior, 8(1), 235–258. https://doi.org/10.1146/annurev-orgpsych-012420-060843
Landy, F. J., & Farr, J. L. (1983). The measurement of work performance. Methods, theory, and applications. Academic Press.
Latham, G. P. (2017). Motivate employee performance through oal Sestting. In E. A. Locke (Hrsg.), The Blackwell handbook of principles of organizational behaviour (S. 109–124). Wiley.
Ledford, G., Benson, G., & Lawler, E. (2016). Aligning research and the current practice of performance management. Industrial and organizational psychology, 9(2), 253–260. https://doi.org/10.1017/iop.2016.7
Locke, E. A., & Latham, G. P. (2013). Goal setting theory, 1990. In E. A. Locke & G. P. Latham (Hrsg.), New developments in goal setting and task performance (S. 3–15). Routledge/Taylor & Francis.
Lohaus, D. (2009). Leistungsbeurteilung. Hogrefe.
Lohaus, D., & Kleinmann, M. (2002). Analysis of performance potential. In S. Sonnentag (Hrsg.), Psychological management of individual performance (S. 155–178). Wiley.
Lohaus, D., & Schuler, H. (2014). Leistungsbeurteilung. In H. Schuler & U. Kanning (Hrsg.), Lehrbuch der Personalpsychologie (3. Aufl., S. 357–411). Hogrefe.
Lohaus, D., Bronner, U., Müller, P., Baumann, A., & Wallemann, A. (2018). Die Zukunft des Personalmarketings in Deutschland – Ergebnisse einer Delphi-Studie (2. Aufl.). Hochschule Darmstadt.
McClendon, J. A., Deckop, J. R., Han, S., & Petrucci, T. (2017). A study of system execution of performance appraisal. International Journal of Selection and Assessment, 28(3), 322–336. https://doi.org/10.1111/ijsa.12289
McCormick, B. W., Reeves, C. J., Downes, P. E., Li, N., & Ilies, R. (2020). Scientific contributions of within-person research in management: Making the juice worth the squeeze. Journal of Management, 46(2), 321–350. https://doi.org/10.1177/0149206318788435
Mercer. (2019). Performance transformation in the future of work. https://www.mercer.us/content/dam/mercer/attachments/private/us-2019-performance-transformation-in-the-future-of-work.pdf. Zugegriffen am 29.11.2022.
Mitchell, R., Schuster, L., & Jin, H. S. (2020). Gamification and the impact of extrinsic motivation on needs satisfaction: Making work fun? Journal of Business Research, 106, 323–330. https://doi.org/10.1016/j.jbusres.2018.11.022
Müller, P., & Lohaus, D. (2018). Talent Analytics – Chancen und Risiken eines datenbasierten Talent Managements aus wirtschaftspsychologischer Sicht. Wirtschaftspsychologie, 20(3), 34–42.
Murphy, K., Cleveland, J., & Hanscom, M. (2019). Performance appraisal and management. Sage.
Murphy, K. R. (2020). Performance evaluation will not die, but it should. Human Resource Management Journal, 30(1), 13–31. https://doi.org/10.1111/1748-8583.12259
Ng, T. W. H., & Feldman, D. C. (2013). How do within-person changes due to aging affect job performance? Journal of Vocational Behavior, 83(3), 500–513. https://doi.org/10.1016/j.jvb.2013.07.007
Nixon, A. E., & Spector, P. E. (2014). The impact of technology on employee stress, health, and well-being. In M. D. Coovert & L. F. Thompson (Hrsg.), The psychology of workplace technology (S. 238–260). Routledge.
O’Boyle, E., Jr., & Aguinis, H. (2012). The best and the rest: Revisiting the norm of normality of individual performance. Personnel Psychology, 65(1), 79–119. https://doi.org/10.1111/j.1744-6570.2011.01239.x
Organ, D. W. (1988). Organizational citizenship behavior: The good soldier syndrom. Lexington.
Parry, E. (2014). e-HRM: A catalyst for changing the HR function? In F. J. Martinez-Lopez (Hrsg.), Handbook of strategic e-business management (S. 589–604). Springer. https://doi.org/10.1007/978-3-642-39747-9
Payne, S. C., Horner, M. T., Boswell, W. R., Schroeder, A. N., & Stine-Cheyne, K. J. (2009). Comparison of online and traditional performance appraisal systems. Journal of Managerial Psychology, 24(6), 526–544. https://doi.org/10.1108/02683940910974116
Perryer, C., Celestine, N. A., Scott-Ladd, B., & Leighton, C. (2016). Enhancing workplace motivation through gamification: Transferrable lessons from pedagogy. The International Journal of Management Education, 14(3), 327–335. https://doi.org/10.1016/j.ijme.2016.07.001
Pilcher, S. (2012). The social context of performance appraisal and appraisal reactions: A meta-analysis. Human Resource Management, 51(5), 709–732. https://doi.org/10.1002/hrm.21499
Podsakoff, N. P., Spoelma, T. M., Chawla, N., & Gabriel, A. S. (2019). What predicts within-person variance in applied psychology constructs? An empirical examination. Journal of Applied Psychology, 104(6), 727–754. https://doi.org/10.1037/apl0000374
Pulakos, E. D., Arad, S., Donovan, M. A., & Plamondon, K. E. (2000). Adaptability in the workplace: Development of a taxonomy of adaptive performance. Journal of Applied Psychology, 85(4), 612–624. https://doi.org/10.1037/0021-9010.85.4.612
Pulakos, E. D., Mueller Hanson, R., Arad, S., & Moye, N. (2015). Performance management can be fixed: An on-the-job experiential learning approach for complex behaviour change. Industrial and Organizational Psychology: Perspectives on Science and Practice, 8(1), 51–76. https://doi.org/10.1017/iop.2014.2
Pulakos, E. D., Muller-Hanson, R., & Arad, S. (2019). The evolution of performance management: Searching for value. Annual Review of Organizational Psychology and Organizational Behavior, 6(1), 249–271. https://doi.org/10.1146/annurev-orgpsych-012218-015009
Ravid, D. M., Tomczak, D. L., White, J. C., & Behrend, T. S. (2020). EPM 20/20: A review, framework, and research agenda for electronic performance monitoring. Journal of Management, 46(1), 100–126. https://doi.org/10.1177/0149206319869435
Roberts, B. W., Walton, K. E., & Viechtbauer, W. (2006). Patterns of mean-level change in personality traits across the life course: A meta-analysis of longitudinal studies. Psychological Bulletin, 132(1), 1–25. https://doi.org/10.1037/0033-2909.132.1.1
Rondeau, K. V. (2018). e-Performance and reward management. In M. Thite (Hrsg.), e-HRM: Digital approaches, directions & applications (S. 196–213). Routledge.
Ruël, H., & Bondarouk, T. (2014). e-HRM research and practice: Facing the challenges ahead. In F. J. Martinez-Lopez (Hrsg.), Handbook of strategic e-business management (S. 633–653). Springer. https://doi.org/10.1007/978-3-642-39747-9
Sanchez, J. I., & Levine, E. L. (2012). The rise and fall of job analysis and the future of work analysis. Annual Review of Psychology, 63, 397–425. https://doi.org/10.1146/annurev-psych-120710-100401
Schleicher, D. J., Bull, R. A., & Green, S. G. (2009). Rater reactions to forced distribution rating systems. Journal of Management, 35(4), 899–927. https://doi.org/10.1177/0149206307312514
Schleicher, D. J., Baumann, H. M., Sullivan, D. W., Levy, P. E., Hargrove, D. C., & Barros-Rivera, B. A. (2018). Putting the system into performance management systems: A review and agenda for performance management research. Journal of Management, 44(6), 2209–2245. https://doi.org/10.1177/0149206318755303
Schuler, H. (2004). Beurteilung und Förderung beruflicher Leistung (2. Aufl.). Hogrefe.
Schuler, H. (2014). Psychologische Personalauswahl. Eignungsdiagnostik für Personalentscheidungen und Berufsberatung (4., vollst. überarb. Aufl.). Hogrefe.
Silic, M., Marzi, G., Caputo, A., & Bal, P. M. (2020). The effects of a gamified human resource management system on job satisfaction and engagement. Human Resource Management Journal, 30(2), 260–277. https://doi.org/10.1111/1748-8583.12272
Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R. (2015). The influence of technology on the future of human resource management. Human Resource Management Review, 25(2), 216–231. https://doi.org/10.1016/j.hrmr.2015.01.002
Thiel, C. E., Prince, N., & Sahatjian, Z. (2022). The (electronic) walls between us: How employee monitoring undermines ethical leadership. Human Resource Management Journal, 32(4), 743–758. https://doi.org/10.1111/1748-8583.12462
Thomason, S., Brownlee, A., Beekman, A., & Rustogi, H. (2018). Forced distribution systems and attracting top talent. International Journal of Productivity and Performance Management, 67(7), 1171–1191. https://doi.org/10.1108/IJPPM-06-2017-0141
Trevor, C. O., & Piyanontalee, R. (2020). Discharges, poor-performer quits, and layoffs as valued exits: Is it really addition by subtraction? Annual Review of Organizational Psychology and Organizational Behavior, 7, 181–211. https://doi.org/10.1146/annurev-orgpsych-012119-045343
Tziner, A., & Rabenu, E. (2021). The COVID-19 pandemic: A challenge to performance appraisal. Industrial and Organizational Psychology, 14(1–2), 173–177. https://doi.org/10.1017/iop.2021.24
Ullah, Z., Ahmad, N., Scholz, M., Ahmed, B., Ahmad, I., & Usman, M. (2021). Perceived accuracy of electronic performance appraisal systems: The case of a non-for-profit organization from an emerging economy. Sustainability, 13(4), 2109. https://doi.org/10.3390/su13042109
Van Lill, X., Roodt, G., & De Bruin, G. P. (2020). The relationship between managers’ goal-setting styles and subordinates’ goal commitment. South African Journal of Economic and Management Sciences, 23(1), a3601. https://doi.org/10.4102/sajems.v23i1.3601
Viswesvaran, C., & Ones, D. S. (2000). Perspectives on models of job performance. International Journal of Selection and Assessment, 8(4), 216–226. https://doi.org/10.1111/1468-2389.00151
Viswesvaran, C., Schmidt, F. L., & Ones, D. S. (2005). Is there a general factor in ratings of job performance? A meta-analytic framework for disentangling substantive and error influences. Journal of Applied Psychology, 90(1), 108–131. https://doi.org/10.1037/0021-9010.90.1.108
Welsh, D. T., Baer, M. D., Sessions, H., & Garud, N. (2020). Motivated to disengage: The ethical consequences of goal commitment and moral disengagement in goal setting. Journal of Organizational Behavior, 41(7), 663–677. https://doi.org/10.1002/job.2467
Wilkie, D. (2015, October). Is the annual performance review dead? HR Magazine, 11–12.
Woods, S. A. (2022). Where I am and who I am with: Contextual dynamics of personality in the prediction of work performance. International Journal of Selection and Assessment, 30(2), 236–248. https://doi.org/10.1111/ijsa.12355
Zhou, Y., Cheng, Y., Zou, Y., & Liu, G. (2022). e-HRM: A meta-analysis of the antecedents, consequences, and cross-national moderators. Human Resource Management Review, 32(4). https://doi.org/10.1016/j.hrmr.2021.100862
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 Der/die Autor(en), exklusiv lizenziert an Springer-Verlag GmbH, DE, ein Teil von Springer Nature
About this chapter
Cite this chapter
Lohaus, D., Habermann, W. (2023). Leistungsbeurteilung in Zeiten der Digitalisierung. In: Kanning, U.P., Ohlms, M.L. (eds) Digitale Personalauswahl und Eignungsdiagnostik. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-68211-1_10
Download citation
DOI: https://doi.org/10.1007/978-3-662-68211-1_10
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-68210-4
Online ISBN: 978-3-662-68211-1
eBook Packages: Psychology (German Language)